Growth Operations Engineer

Peerspace

2d•$110,000 - $120,000•Remote

About The Position

Peerspace is a leading online marketplace for venue rentals for meetings, productions, and events. The Growth Operations Engineer will scale and optimize the company's operational infrastructure through technical innovation and automation. The role sits at the intersection of business operations, process optimization, and technical automation, transforming customer operations, trust and safety, and sales workflows into efficient, scalable systems. The engineer will identify operational bottlenecks, design data-driven solutions, and build technical infrastructure that supports growth while maintaining service quality. Working with cross-functional teams, the role will streamline current operations and create new capabilities for scaling customer volume, reducing operational costs, and improving team efficiency.

Requirements

Strong programming experience, including proficiency in SQL and at least one modern programming language such as Python or JavaScript.
Experience with API integrations and webhook implementations.
Hands-on experience with customer support platforms, CRM systems, and ancillary software.
Understanding of modern SaaS architecture and integration patterns.
At least 3 years of experience in technical operations, customer operations, or similar roles building or maintaining support systems at scale.
Strong analytical skills and experience with data analysis and visualization tools.
Ability to translate complex operational problems into technical solutions.
Excellent written and verbal communication skills and ability to collaborate with technical and non-technical stakeholders.
Deep understanding of customer support operations and how technology can enhance the customer experience.

Nice To Haves

Experience with Laravel and Nuxt/Vue.
Experience with Intercom.
Familiarity with AI platforms and their practical applications in customer support.
Experience implementing and managing AI-powered solutions.
Experience with tools such as MixMax, Zapier, and Outreach.

Responsibilities

Design, implement, and maintain integrations between operational systems and product infrastructure, including automated workflows that improve efficiency and data accuracy.
Develop and optimize internal tools for customer support and trust and safety teams, including case management, automated responses, and support analytics.
Architect and implement AI-powered customer support solutions, such as automated response systems, intelligent ticket routing, and predictive analytics.
Create and maintain dashboards and reporting systems that provide insights into customer support metrics, team performance, and system health.
Use data to identify opportunities for automation and improvement.
Collaborate with product, engineering, and operations teams to integrate support systems with the core product.
Partner with customer success and trust and safety teams to understand their needs and implement effective solutions.
Evaluate and improve support workflows, identifying opportunities for automation and efficiency gains through technical solutions.